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Talk · IEEE International Conference on Soft Computing and Measurements · May 1, 2017

Model of computation accuracy in modular digital filters

Alexander V. Veligosha, Dmitrii Kaplun, Dmitry M. Klionskiy, Vyacheslav V. Gulvanskiy, Danil V. Bogaevskiy, Ivan I. Kanatov

Dmitry Kaplun
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Abstract

We show that hardware implementation of digital filters is accompanied by the problem connected with using a finite number of bits for representing coefficients, input data and interim results. This problem leads to the deterioration of magnitude response and computation accuracy. We provide grounds for using modular coding in digital filters in order to exclude errors caused by finite capacity when computing output samples. Thus, it becomes possible to meet the requirements to computational accuracy and magnitude response without increasing hardware costs and computation time.

Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit DesignNumerical Methods and Algorithmsdigital filtersmodular arithmeticfinite precision arithmetic

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